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Python and pytorch tutorials based on quick-start practical projects even start from zero.

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# dive-into-AI

## 简介

> AI tutorials based on quick-start practical projects even start from zero.

基于快速入门实践项目的AI教程，即使你是从零开始的初学者。

## python-brief-tutorial

| articles                                                     | code                                                         |
| ------------------------------------------------------------ | ------------------------------------------------------------ |
| [CH1 - python基本语法元素]() | |
| [CH2 - python基本数据类型]() | |
| [CH3 - python组合数据类型]() | |
| [CH4 - 程序控制结构]() | |
| [CH5 - 函数]() | |
| [CH6 - 类——面向对象的编程]() | |
| [CH7 - 文件、异常和模块]() | |
| [CH8 - 生成器、迭代器和装饰器]() | |
| [CH9 - Python标准库]() | [code]() |
| [CH10 - Numpy库]() | [code]() |
| [CH11 - Pandas库]() | [code]() |
| [CH12 - Matplotlib库]() | [code]() |
| [CH13 - scikit-learn 库]() | [code]() |
| [CH14 - 时间和空间复杂度]() | [code]() |

## pytorch-practical-tutorial

Coming soon...

## neural-network-basics

| articles                                                     | content                                                      |
| ------------------------------------------------------------ | ------------------------------------------------------------ |
| [神经网络入门](https://github.com/timerring/dive-into-AI/blob/main/neural-network-basics/getting_started_with_neural_networks.md#神经网络入门) | [人工神经元](https://github.com/timerring/dive-into-AI/blob/main/neural-network-basics/getting_started_with_neural_networks.md#人工神经元) \| [多层感知机](https://github.com/timerring/dive-into-AI/blob/main/neural-network-basics/getting_started_with_neural_networks.md#多层感知机) \| [激活函数](https://github.com/timerring/dive-into-AI/blob/main/neural-network-basics/getting_started_with_neural_networks.md#激活函数) \| [反向传播（Back Propagation）](https://github.com/timerring/dive-into-AI/blob/main/neural-network-basics/getting_started_with_neural_networks.md#反向传播back-propagation) \| [损失函数（Loss Function）](https://github.com/timerring/dive-into-AI/blob/main/neural-network-basics/getting_started_with_neural_networks.md#损失函数loss-function) \| [权值初始化（Initialization）](https://github.com/timerring/dive-into-AI/blob/main/neural-network-basics/getting_started_with_neural_networks.md#权值初始化initialization) \| [正则化（Regularization）](https://github.com/timerring/dive-into-AI/blob/main/neural-network-basics/getting_started_with_neural_networks.md#正则化regularization) |

## 参考

学习参考：Python数据科学入门

## Tips

1. 本仓库针对内容进行了一定程度上的精简，去除了冗余。同时对一些相关的知识进行了适当的补充。
2. 如果您在阅读的过程中存在疑问或发现错误，欢迎提Issues交流订正。
3. 如果遇到图片无法加载的情况，可以考虑使用代理，或者访问[博客网站](https://blog.csdn.net/m0_52316372/category_11988214.html) 。

### ChangeLog

- v1.1 python简明教程更新完毕
- v1.0 基础结构

### TODO

- docsify部署
- 欢迎issue交流讨论，PR订正。

## 关注更多

<div align=center>
<p>扫描下方二维码关注公众号：AIShareLab</p>
<img src="resources/qrcode.jpg" width = "180" height = "180">
</div>

&emsp;&emsp;AIShareLab，一个关注CV、AI、区块链、Web开发、硬件开发、5G通信等领域的热“AI”分享的社群，微信搜索公众号 AIShareLab 一起交流更多相关知识，前沿算法，Paper解读，项目源码，面经总结。

## LICENSE

<a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/"><img alt="知识共享许可协议" style="border-width:0" src="https://img.shields.io/badge/license-CC BY--NC--SA 4.0-lightgrey" /></a><br />本作品采用<a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/">知识共享署名-非商业性使用-相同方式共享 4.0 国际许可协议</a>进行许可。

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